Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)

Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.

The code repository for the paper: Peijie et al., Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering. IEEE TKDE, 2023.

Self-Contrastive Learning: Single-viewed Supervised Contrastive Framework using Sub-network (AAAI 2023)

Supervised Contrastive Learning (SupContrast) based on MoCo-v2

Code for MICCAI 2023 publication: SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans

TF 2.x implementation of SupCL (Supervised Contrastive Learning, 2020).

Supervised Contrastive Learning for Diabetic Retinopathy Classification

In medical applications with limited training data, traditional self-supervised deep learning struggles for accuracy. This study combines self-supervised learning with Variational Quantum Classifiers (VQC) and Principal Component Analysis (PCA) for dimensionality reduction.

Official code for "SCL-IKD: intermediate knowledge distillation via supervised contrastive representation learning" Published at Applied Intelligence Journal

Implemented pose aware face recognition network to Improve the performance of face recognition task for the faces at extreme joint pitch and yaw view angles.

Detecting melanomas in images of skin lesions using supervised contrastive learning, and image denoising as a pretext task.

This repo contains code for uisng semi-supervised contrastive learning to learn phenotypical representations from Cell Painting image data

SMAI Project